forecasting
Aeon provides forecasting algorithms for predicting future time series values.
- Skills
- Scientific
- 1
What it does and how to use it
A skill that teaches Claude Code to do scientific tasks well. It is packaged knowledge the model uses whenever it is relevant.
- Install the skill (command above).
- In Claude Code, describe what you need - the skill turns on by itself when the context fits.
- No commands to memorize: you talk in plain language and the skill does the rest.
Install (Claude Code)
mkdir -p .claude/skills/forecasting && curl -fsSL https://doutorai.pt/data/lib/skills__forecasting.md -o .claude/skills/forecasting/SKILL.mdPaste this command into the terminal, in your project folder, and the component installs automatically.
Content
# Time Series Forecasting
Aeon provides forecasting algorithms for predicting future time series values.
## Naive and Baseline Methods
Simple forecasting strategies for comparison:
- `NaiveForecaster` - Multiple strategies: last value, mean, seasonal naive
- Parameters: `strategy` ("last", "mean", "seasonal"), `sp` (seasonal period)
- **Use when**: Establishing baselines or simple patterns
## Statistical Models
Classical time series forecasting methods:
### ARIMA
- `ARIMA` - AutoRegressive Integrated Moving Average
- Parameters: `p` (AR order), `d` (differencing), `q` (MA order)
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